We extract property listings, dynamic pricing, availability calendars, host intelligence, and reviews from Holiday Lettings. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Listings objects from holidaylettings.co.uk. All fields typed and schema-versioned.
"property_id": "HL9821345", "title": "Stunning Cornish Coastal Cottage", "location_name": "St Ives, Cornwall", "property_type": "Cottage", "bedrooms": 3, "sleeps": 6, "base_nightly_rate": 145.0, "tripadvisor_rating": 4.8, "review_count": 112
| # | property_id | title | location_name | latitude | longitude | property_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Availability & Pricing objects from holidaylettings.co.uk. All fields typed and schema-versioned.
"property_id": "HL9821345", "calendar_date": "2026-07-14", "is_available": true, "nightly_price": 185.0, "currency": "GBP", "minimum_stay_days": 3, "check_in_allowed": true, "extraction_timestamp": "2026-05-12T08:14:00Z"
| # | property_id | calendar_date | is_available | nightly_price | currency | minimum_stay_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from holidaylettings.co.uk. All fields typed and schema-versioned.
"review_id": "R84729104", "property_id": "HL9821345", "author_name": "Sarah J.", "stay_date": "2026-04", "rating": 5, "review_title": "Perfect family getaway", "review_text": "The cottage was exactly as described. Close to the beach and very clean.", "helpful_votes": 4
| # | review_id | property_id | author_name | author_location | review_date | stay_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Host Intelligence objects from holidaylettings.co.uk. All fields typed and schema-versioned.
"host_id": "H39201", "host_name": "Cornish Retreats Ltd", "member_since": "2018", "response_rate_pct": 98, "response_time": "within an hour", "total_listings": 14, "verified_identity": true
| # | host_id | host_name | member_since | response_rate_pct | response_time | languages_spoken |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Amenities & Policies objects from holidaylettings.co.uk. All fields typed and schema-versioned.
"property_id": "HL9821345", "has_wifi": true, "pet_friendly": false, "cancellation_policy": "Strict", "check_in_time": "16:00", "check_out_time": "10:00", "cleaning_fee": 60.0
| # | property_id | has_wifi | has_parking | has_pool | pet_friendly | cancellation_policy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Holiday Lettings scraper navigates map boundaries, paginates through regional listings, and renders dynamic calendar widgets to deliver accurate supply and pricing data.
Extract titles, descriptions, bed/bath counts, property types, and high-resolution image URLs for every listing.
Parse dynamic calendar widgets to extract daily availability, blocked dates, and minimum stay requirements.
Capture base rates, seasonal fluctuations, cleaning fees, and service charges across forward-looking dates.
Extract integrated TripAdvisor ratings, full review text, stay dates, and host responses across all paginated reviews.
Capture exact latitude and longitude coordinates, regional hierarchies, and proximity markers for spatial analysis.
Track host response rates, response times, active listing counts, and verification status to identify professional managers.
Extract structured boolean flags for WiFi, parking, pools, air conditioning, and pet policies.
Capture cancellation tiers, check-in windows, damage deposit requirements, and specific house rules.
Monitor specific regions daily and receive only new listings, price changes, or newly blocked calendar dates.
Brief in. Clean data out.
Provide regions, bounding boxes, or specific property IDs. We design the extraction schema together.
We configure Scrapy crawlers, Playwright renderers for calendar widgets, and proxy rotation for holidaylettings.co.uk.
Schema validation, null-rate checks, and price-outlier detection before full pipeline launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators rely on complex front-end hydration and bot mitigation. Here is how we ensure data continuity.
Holiday Lettings loads pricing and availability via asynchronous JavaScript calls as users interact with the calendar. We use Playwright to simulate date selections and intercept the underlying JSON responses, capturing forward-looking rates without missing data.
Standard pagination often limits results to 300 properties per search. We divide target regions into granular geospatial bounding boxes, ensuring we extract the entire supply of a region rather than just the top-ranked listings.
Travel sites aggressively block datacentre IPs. We route requests through UK-based residential proxies with legitimate browser fingerprints, mimicking normal user search behaviour to maintain high success rates.
As part of the TripAdvisor network, Holiday Lettings frequently updates its DOM structure and review integration. Our selectors use multiple fallback chains to ensure data continues flowing even when front-end layouts change.
Extracting 180 days of future pricing for thousands of properties generates massive data volume. We maintain state and only deliver records when a price changes or a date becomes booked, reducing your processing overhead.
Property managers consume competitor pricing and availability data to optimise their own nightly rates algorithmically.
Investors calculate projected yield by analysing occupancy rates, average daily rates (ADR), and seasonality in specific postcodes.
Tourism boards and analysts monitor active listing counts and property types to understand short-term rental density.
Large property management companies track review sentiment and amenity offerings against competing professional hosts.
Alternative accommodation platforms ingest property metadata and availability to build comprehensive meta-search engines.
Data science teams process the TripAdvisor review corpus to extract guest preferences and common complaints.
"Holiday Lettings holds critical UK and European short-term rental supply data, but extracting historical calendar availability requires purpose-built infrastructure."
Most teams underestimate the investment required: reliable property scraping requires residential proxies, full JavaScript rendering for calendar widgets, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our holidaylettings.co.uk scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering for dynamic calendar widgets and map interactions.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required to prevent bot mitigation blocks.
Pipelines run on AWS Lambda and Kubernetes. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About holidaylettings.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available property listings, pricing, and reviews is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract private host dashboards or guest messaging. Clients should review terms of service and consult legal counsel for specific use cases.
We use geospatial bounding boxes rather than simple text searches. By dividing a target region into small coordinate grids, we ensure the pipeline captures every active listing in the area.
Yes. We configure pipelines to parse the calendar widget for a specified forward-looking window (e.g., 90, 180, or 365 days), capturing the nightly rate and availability status for every date.
Holiday Lettings uses TripAdvisor's review engine. Our crawlers paginate through the review frames to extract the full historical corpus, including star ratings, text, and host responses.
Pipelines can be configured to run daily or hourly depending on your required latency. For large regions, we recommend daily delta runs to capture overnight pricing adjustments.
Our smallest packages start at a defined list of regions or 5,000 specific property IDs with weekly delivery. We price based on volume, calendar depth, and delivery frequency.
Yes. We provide a sample run of up to 200 properties with 30-day calendar data as part of the scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off regional extraction or a continuous availability feed across the UK — we scope, build, and operate the pipeline. Tell us what you need.
